diff --git a/graph/boxplot_basic.html b/graph/boxplot_basic.html
index 8779661..3a67b00 100644
--- a/graph/boxplot_basic.html
+++ b/graph/boxplot_basic.html
@@ -219,12 +219,16 @@ <h5>Steps:</h5>
 
 // Compute summary statistics used for the box:
 var data_sorted = data.sort(d3.ascending)
+var min_data = data_sorted[0]
+var max_data = data_sorted[data_sorted.length - 1]
 var q1 = d3.quantile(data_sorted, .25)
 var median = d3.quantile(data_sorted, .5)
 var q3 = d3.quantile(data_sorted, .75)
 var interQuantileRange = q3 - q1
-var min = q1 - 1.5 * interQuantileRange
-var max = q1 + 1.5 * interQuantileRange
+var lowerExtremeValue = q1 - 1.5 * interQuantileRange
+var upperExtremeValue = q3 + 1.5 * interQuantileRange
+var min = d3.max([min_data, lowerExtremeValue])
+var max = d3.min([max_data, upperExtremeValue])
 
 // Show the Y scale
 var y = d3.scaleLinear()
diff --git a/graph/custom_color.html b/graph/custom_color.html
index 5897126..810ca59 100644
--- a/graph/custom_color.html
+++ b/graph/custom_color.html
@@ -275,7 +275,7 @@ <h1>Categorical color scale</h1>
 <p></p>
 <p>You have a several groups, and want to attribute a specific color to each group. Several way to build this scale</p>
 <ul>
-  <li>Give 2 colors as a range. Use <code>scaleLinear()</code></li>
+  <li>Give a list of colors as a range. Use <code>scaleOrdinal()</code></li>
   <li>Use a palette coming from ColorBrewer. Use <code>scaleSequential()</code>. List of available palette <a href="https://www.r-graph-gallery.com/38-rcolorbrewers-palettes/">here</a>. These color scale are offered in the <a href="https://github.com/d3/d3-scale-chromatic">d3-scale-chromatic plugin</a></li>
   <li>Palette coming from viridis. Same idea.</li>
 </ul>